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Vignan University Online

Online MCA in Data Science

An Online MCA program specializing in Data Science from Vignan University provides a thorough program designed to satisfy the increasing...

About Online MCA in Data Science

An Online MCA program specializing in Data Science from Vignan University provides a thorough program designed to satisfy the increasing need for qualified experts with the ability to handle and analyze big information. Students study computer science’s fundamental ideas through a combination of theoretical understanding and real-world applications, with an emphasis on cutting-edge methods and resources necessary for data-driven decision-making across a range of sectors. A wide range of subjects are usually covered in the curriculum, such as big data analytics, statistics, machine learning, data mining, and data visualization. Pupils acquire the skills necessary to gather, clean, and pre process data, apply statistical techniques to glean insightful conclusions, and create prediction models to address challenging issues. Students who have practical expertise with programming languages like Python, R, and SQL are better equipped to handle data, do analysis, and create machine learning algorithms. With a strong foundation in computer science concepts and specialized abilities in data analysis and machine learning, an online MCA in data science equips students for fulfilling jobs in one of the fastest-growing industries in technology.

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Online MCA in Data Science

Key Program USP's of Online MCA in Data Science from Vignan University

The curriculum is meant to give students a solid foundation in computer science principles as well as specific data science abilities, enabling them to succeed in the data-driven workforce.

1
Foundational Courses: These courses establish the foundation for more advanced data science studies by introducing students to fundamental ideas including programming, statistics, data structures, and algorithms.
2
Advanced Courses: Advanced courses give students the in-depth knowledge and abilities needed to tackle challenging data challenges by delving deeper into specialized fields of data science, such as data mining, big data analytics, machine learning, and natural language processing.
3
Practical Training: Through projects, labs, and internships, students can gain practical experience that is necessary for success in data science careers. This allows students to apply theoretical principles to real-world problems.
4
Electives: By examining specialist subjects like business intelligence, computer vision, and advanced data visualization, elective courses enable students to customize their education to their interests and professional aspirations and gain further skills in particular data science fields.

Course Curriculum of Online MCA in Data Science from Vignan University

The MCA in Data Science program prepares students for fulfilling jobs in data-driven sectors by fusing academic underpinnings with real-world applications. Students graduate with the ability to analyze complicated datasets and draw actionable insights.

Semester First
  • Mathematical Foundation for Computer Application Operating System and Unix Shell Programming*
  • Data Communication and Computer Networks
  • Data Structures with Algorithms*
  • Computer Organization and Architecture
Semester Second
  • Relational Database Management System
  • Design and Analysis of Algorithms*
  • Java Programming*
  • Python for Data Science *
  • Statistical Methods in Decision Making
Semester Third
  • Application Development using Python*
  • Advanced Web Technologies*
  • Data Visualization *
  • SQL for Data Science *
  • Advanced Data Management Techniques*
  • Predictive Analytics using Machine Learning *
  • Open Elective Course
Semester Fourth
  • Data Mining *
  • Time series Analytics *
  • Text Mining *
  • Applied Analytics - Marketing, Web, Social Media
  • Cross-Functional Elective Course
  • Project**

Learning Outcomes of Online MCA in Data Science from Vignan University

The most important things to learn in an MCA program in data science are how to do statistical analysis and machine learning algorithms, how to manipulate and visualize data, how to understand the ethical issues involved in working with data, and how to effectively communicate findings to different stakeholders.

1
Gain an understanding of the core ideas behind data science, as well as how it functions in decision-making, how it is applied in different industries, and which technologies and tools are most important in the field.
2
Acquire knowledge of fundamental statistical ideas, which are necessary for comprehending and evaluating data, such as regression analysis, hypothesis testing, and probability distributions.
3
Develop skills in programming languages used in data science, such as R and Python. Learn about data types, functions, control structures, and libraries for data analysis and manipulation.
4
Develop your ability to produce perceptive visuals using programs like Matplotlib, Seaborn, and Plotly to convey information in a clear and engaging manner.

Eligibility Criteria of Online MCA in Data Science from Vignan University

  • iconProgram of a minimum duration of three (3) years in any stream from a UGC Recognized University, with a minimum aggregate of 50% or an equivalent letter/numerical grade.
  • iconA relaxation of 5% shall be given to SC/ST candidates.

Fees Structure of Online MCA in Data Science from Vignan University

For qualified students, there may be workplace reimbursement plans, financial assistance options, and scholarships available to help with costs.

Semesters

Fees

Per Semester Fees

27,500

Registration Fees (one Time)

2,500

Exam Fees

4,000

Full Fees

1,10,000

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Career Opportunities After Online MCA in Data Science from Vignan University

A career in data science offers dynamic opportunities to leverage analytical skills and technological expertise to solve complex problems across industries. Data scientists play pivotal roles in driving innovation, optimizing processes, and shaping strategic decisions through data-driven insights, making it a rewarding and impactful career path.

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IconBusiness Analyst
IconData Engineer
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IconNetwork Engineer
IconQuality Assurance Analyst
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